Intelligent Vehicles-- A Study On A Vision-based Roadway Departure Warning And Collision Warning System
Date Issued
2006
Date
2006
Author(s)
Huang, Mo-Kai
DOI
zh-TW
Abstract
Vehicle active safety system is very important and intelligent transport system is an important developing subject of our government. Different sensing systems have been developed to assist human driving and to avoid the occurrences of dangers or accidents. Our system is vision-based. The images are acquired by a video camera and processed to recognize the position of the lane markers and the relative distance to the front vehicle. A video camera was mounted on a vehicle to catch the sequence of the roadway. From each recorded image, a region of interest was decided. In the region of interest, the edges of objects were detected using Sobel edge detection method. Then a lane-vector method was used to find the most possible positions of the lane markers. Results showed that our method can recognize the positions of lane markers correctly at different road conditions. In front-vehicle detection two methods were used in daytime and at night. In the daytime, we detect the shadow of the front vehicle on the ground to calculate the relative distance; however, during the night the paired tail lights of cars were used to estimate the position of the front vehicle. Those information from the past image processing were used to provide lane-departure warning and collision-warning systems to judge if the car is driving safely.
Subjects
車道線偵測
前方車輛偵測
lane detection
vehicle detection
Type
thesis
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